Next Article in Journal
Study on the Stability of Soil–Rock Mixture Slopes Based on the Material Point Strength Reduction Method
Previous Article in Journal
A Comprehensive Study of Local, Global, and Combined Optimization Methods on Synthetic Seismic Refraction and Direct Current Resistivity Data
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System

by
Maha M. A. Lashin
1,
Muhammad Ijaz Khan
2,3,*,
Nidhal Ben Khedher
4,5 and
Sayed M. Eldin
6
1
College of Engineering, Princess Nourah Bint Abdulrahaman University, Riyadh 11564, Saudi Arabia
2
Department of Mathematics and Statistics, Riphah International University, Islamabad 44000, Pakistan
3
Department of Mechanical Engineering, Lebanese American University, Beirut 1102, Lebanon
4
Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il 81451, Saudi Arabia
5
Laboratory of Thermal and Energy Systems Studies, National School of Engineering of Monastir, University of Monastir, Monastir 5000, Tunisia
6
Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo 11835, Egypt
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(22), 11594; https://doi.org/10.3390/app122211594
Submission received: 3 September 2022 / Revised: 24 October 2022 / Accepted: 29 October 2022 / Published: 15 November 2022
(This article belongs to the Section Additive Manufacturing Technologies)

Abstract

A display window or store window is the shop’s window that is designed to display items for sale to attract the customers to the stores. Window dressing that depends on visual merchandising is done to make a better impression and implies something dishonest. Knowing the customer from inside and outside through demographic data like ages, psychographics, lifestyles, and behaviors is the main factor that must be kept in display window designer’s mind. The designer takes display colors, light, and signage in consideration. In the presented paper, factors of designing display windows that affect increasing customer attraction and buying rate are studied. An analysis of this variable is established to select which of them have good effects. Optimizing customers’ attraction and buying rate values is carried out by controlling the selected affected variables through a designed and implemented fuzzy logic control system as an artificial intelligence tool. The fuzzy system, used for optimizing the number of viewers for stores’ display windows by controlling the affected factors, is a new approach used in the display window design field.
Keywords: display window; visual merchandising; fashion stores; artificial intelligence; fuzzy system display window; visual merchandising; fashion stores; artificial intelligence; fuzzy system

Share and Cite

MDPI and ACS Style

Lashin, M.M.A.; Khan, M.I.; Khedher, N.B.; Eldin, S.M. Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System. Appl. Sci. 2022, 12, 11594. https://doi.org/10.3390/app122211594

AMA Style

Lashin MMA, Khan MI, Khedher NB, Eldin SM. Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System. Applied Sciences. 2022; 12(22):11594. https://doi.org/10.3390/app122211594

Chicago/Turabian Style

Lashin, Maha M. A., Muhammad Ijaz Khan, Nidhal Ben Khedher, and Sayed M. Eldin. 2022. "Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System" Applied Sciences 12, no. 22: 11594. https://doi.org/10.3390/app122211594

APA Style

Lashin, M. M. A., Khan, M. I., Khedher, N. B., & Eldin, S. M. (2022). Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System. Applied Sciences, 12(22), 11594. https://doi.org/10.3390/app122211594

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop